{"id":"W2901427157","doi":"10.3390/buildings8110162","title":"Numerical Study of Alternative Seismic-Resisting Systems for CLT Buildings","year":2018,"lang":"en","type":"article","venue":"Buildings","topic":"Wood Treatment and Properties","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; University of Northern British Columbia","funders":"","keywords":"Shear wall; Structural engineering; Anchoring; Structural system; Engineering; Cross laminated timber; Shear (geology); Seismic loading; Finite element method; Civil engineering; Architectural engineering; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001370966,0.0001772258,0.000278937,0.00008745654,0.0001114747,0.00004544125,0.0001837656,0.00004839808,0.000008248985],"category_scores_gemma":[0.00004408773,0.0001513344,0.00005729367,0.0001434372,0.00004611223,0.0001451196,0.00003069715,0.00006307381,0.00001218832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005499665,"about_ca_system_score_gemma":0.000006581757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005901901,"about_ca_topic_score_gemma":0.000003613534,"domain_scores_codex":[0.9990919,0.00001585317,0.0002821078,0.0002032446,0.000155212,0.000251715],"domain_scores_gemma":[0.9995188,0.00007680398,0.00007169595,0.0001651253,0.000117247,0.00005033135],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002060583,0.003985784,0.124836,0.005100741,0.009491894,0.00009287265,0.121859,0.3944166,0.1473843,0.01418444,0.103602,0.07298578],"study_design_scores_gemma":[0.007808395,0.006958262,0.002796108,0.0008204347,0.000596952,0.00003486249,0.00662765,0.6554008,0.2093126,0.0009625145,0.1068932,0.001788246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858271,0.0004367361,0.01121328,0.0000283041,0.0006674657,0.000600112,0.000008548353,0.0002171352,0.001001285],"genre_scores_gemma":[0.997894,0.000007530035,0.0012906,0.00001122728,0.0004045738,0.000101454,0.000002320558,0.00004693061,0.0002414019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2609842,"threshold_uncertainty_score":0.6171236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543047799660393,"score_gpt":0.2519513708524283,"score_spread":0.2265208928558244,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}